Becoming an Internal AI Champion – Principles to Drive Success in Your Organization

Can implementing AI and automation solutions into your air quality monitoring and reporting toolkit lead to a considerable impact on its effectiveness? Is relying on AI even a feasible pathway, or should businesses stick to human consultants? During Airly’s recent thought leadership panel, we discussed those topics with industry experts. In this article, we’ll cover the key principles of how to become an internal AI champion in your organization.

How Businesses Benefit from AI Automation: Role of Internal Champions

AI tools are becoming more widespread and available to professionals everywhere. The debate on its use cases rages on, and questions like “Will AI take my job?” keep many on their toes. However, the smart crowd already knows the answer—AI isn’t a threat to job security; it’s a force multiplier to streamline your business and boost productivity.

As such, companies should rely on internal champions to fearlessly facilitate AI automation. Their role centers on ensuring the successful deployment of AI, both within the organization and with external clients, by deeply understanding the desired business outcomes and the value that AI implementation can bring. They must effectively communicate this value to stakeholders, aligning AI initiatives with strategic goals and fostering buy-in across all levels of the organization to maximize the benefits of AI adoption.

The Guiding Principles for Driving AI Success in Organisations

To fully embrace AI’s transformational power, internal champions need to work in a lean team with no overlapping accountability to accelerate the delivery of results. Otherwise, your efforts may become too decentralised, and successfully iterating on your AI model to actually obtain the desired effect may slow down.

Next, remember that data trumps all else. No matter your use case, ensuring the quality of your data is imperative to obtaining clear and actionable results.

Lastly, AI adoption efforts should revolve quickly under the guidance of the internal champion. Fast iteration and speed are key to creating a model or application that can be optimized with each cycle, leading to increasingly precise and granularised results.

All of that is just the tip of the iceberg. If you want to dive deeper into our insightful discussion, hear from Harry Morphakis, Senior Director at Artefact here.

Summing Up: Why AI Is Not a Threat, But a Tool for Innovation

Human expertise is irreplaceable, but harnessing the power of AI still brings a range of tangible benefits. Strategic AI adoption may significantly increase the speed at which you move toward desired business outcomes while freeing up resources for human specialists to focus on high-impact, innovative tasks rather than getting bogged down in monotonous and easily automated processes.

As the industry leader in environmental consulting, Airly is ready to walk you through the entire automation process, no matter the size of your business. Contact us today to see how we can work out a solution to skyrocket your productivity.